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Handshake

<div>About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Software Engineer to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
Location: San Francisco, CA (in-office, 5 days/week)<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build and scale core components of RLE environments and infrastructure</li><li>
Design and implement backend systems and data pipelines</li><li>
Translate ambiguous product and research needs into production systems</li><li>
Develop modular, reusable workflow domains</li><li>
Improve reliability, observability, and system performance</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4-6 years of experience in backend, distributed systems, or ML-adjacent infrastructure</li><li>
Strong proficiency in ReactJS and TypeScript</li><li>
Solid experience with relational databases (PostgreSQL) and data modeling</li><li>
Experience with cloud infrastructure (AWS/GCP) and CI/CD</li><li>
Ability to independently drive projects from design to production</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with simulation systems or evaluation platforms</li><li>
Exposure to ML systems or working with research teams</li><li>
Experience in fast-moving, operations-heavy environments</li></ul><h2 class="jobSectionHeader">
What Success Looks Like</h2><ul><li>
Owns and delivers key RLE components end-to-end</li><li>
Improves system scalability and developer velocity</li><li>
Enables faster launch of new domains with high-quality data</li></ul><h2 class="jobSectionHeader">
Perks</h2>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
The below benefits are for full-time US employees.
Ownership: Equity in a fast-growing company
Financial Wellness: 401(k) match, competitive compensation, financial coaching
Family Support: Paid parental leave, fertility benefits, parental coaching
Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
Growth: $2,000 learning stipend, ongoing development
Office: Commuting support, free lunch, and gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Compensation Range: $189K - $210K</div>

Software Engineer II, RLE

Cartesia

<div>
 
 About Cartesia
 
 
 
 Our mission is to architect AI that learns from and interacts with the world like humans do.
 
 
 We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
 
 
 We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
 
 
 
 About The Role
 
 
 
 We're hiring a Software Engineer, Platform to advance our mission of building real-time multimodal intelligence.
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models
 </li>
 <li>
 Work closely with our research team and product engineers to translate cutting edge research into incredible products
 </li>
 <li>
 Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training
 </li>
 <li>
 You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.
 
 
 <ul>
 <li>
 Strong engineering skills, comfortable navigating complex codebases and monorepos.
 </li>
 <li>
 An eye for craft and writing clean and maintainable code.
 </li>
 <li>
 You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).
 </li>
 <li>
 Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
 </li>
 <li>
 Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.
 </li>
 <li>
 [bonus] Background in or experience working with machine learning and generative models.
 
 
 </li>
 </ul>
 Even if you don&rsquo;t meet every requirement above, we'd encourage you to apply.
 
 
 
 More Details
 
 
 
 🏢
 
 In-office policy:
 
 We&rsquo;re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore We love being in the office, hanging out together, and learning from each other every day.
 
 
 
 🌎 Visa sponsorship:
 
 We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
 
 
 🚢
 
 We ship fast.
 
 All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.
 
 
 🤝
 
 We support each other.
 
 We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.
 
 
 
 Our Benefits
 
 
 
 💰
 
 Compensation.
 
 Competitive base salary alongside attractive equity package.
 
 
 🚆
 
 Commuter Allowance
 
 . A monthly stipend to help you get to and from the office.
 
 
 🏖️
 
 Flexible PTO
 
 . Take as much time as you need to recharge your batteries.
 
 
 🍲
 
 Meals &amp; Snacks
 
 . Lunch, dinner and plenty of snacks, provided daily.
 
 
 🦖
 
 Your own personal Yoshi.
 
</div>

Software Engineer, Platform

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.We're looking for someone who gets excited about building data infrastructure at massive scale and cares deeply about the gaming communities we serve. Someone with passion for building lovable products for Discord users and Discord engineers. We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Staff Engineer who sees ambiguity as an invitation &mdash; who builds systems that make whole teams faster, shapes technical strategy across the org, and wants your decisions to directly impact millions of gamers worldwide &mdash; we want to talk to you. To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools! This position is based in our San Francisco office. What You'll Be Doing Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team Stay a top code contributor. You write real production code while helping others reach the same bar Partner with XFN stakeholders to translate business problems into clear technical strategy Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team What you should have 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end Expertise in distributed systems and data infrastructure at scale. You've anticipated hard problems before they became incidents Demonstrated ability to multiply a team's impact through architectural thought leadership, design reviews, reusable abstractions, and well-timed mentorship Strong technical judgment: when to go fast vs. slow, when to build vs. integrate, and how to bring stakeholders along Cross-functional influence: you've driven alignment across engineering, product, and business without relying on authority Bonus Points Passion for Discord and gaming Experience with data governance, privacy compliance, real-time analytics infrastructure, or cost optimization in large-scale data environments Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. The US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Staff Software Engineer, Data Platform

Polymath

<div>
 
 
 About Polymath
 
 
 
 Polymath
 
 
 is
 
 
 an applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to operate safely and autonomously. We work with the world&rsquo;s leading model labs to push the frontier of agent capabilities. Polymath is backed by Base10, Founders Future, Y Combinator, and other incredible investors &amp; angels. We've raised an $8M seed, and are growing out our founding team.
 
 
 
 
 
 
 About the role
 
 
 
 We&rsquo;re hiring a Member of Technical Staff - Engineering to build the infrastructure and systems that power our environment simulation products. You&rsquo;ll work on the technical foundation that makes it possible to train and evaluate autonomous agents in complex, realistic environments. You&rsquo;ll be a member of the founding team and should expect to wear multiple hats. While this role is engineering-leaning, we&rsquo;re looking for people who are energized by hard technical problems and excited to operate at the intersection between engineering and research. Examples of projects you could work on include:
 
 <ul>
 <li>
 Developing an advanced environment simulation engine for training &amp; evaluating autonomous AI agents
 </li>
 <li>
 Building scalable infrastructure to run thousands of simulation environments in parallel
 </li>
 <li>
 Optimizing the performance of complex, stateful simulation environments
 </li>
 <li>
 Tooling to collect data at scale, and improve environment and task creation processes
 </li>
 <li>
 Publishing research
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll be a good fit if you:
 
 
 <ul>
 <li>
 Have strong engineering fundamentals and are a prolific user of AI tools
 </li>
 <li>
 Have experience with infrastructure, containerization, and networking
 </li>
 <li>
 Have experience with large scale distributed systems and data systems
 </li>
 </ul>
 
 
 
 
 
 Perks:
 
 
 <ul>
 <li>
 🪷 Comprehensive health, dental, and vision insurance
 </li>
 <li>
 🏦 401(k)
 </li>
 <li>
 🌎 Unlimited PTO
 </li>
 <li>
 🍽 Free meals with the team
 </li>
 <li>
 🧘 Wellness stipend &amp; learning stipend
 </li>
 <li>
 💻 Top of the line tech
 </li>
 <li>
 🌁 Frequent team activities and outings
 </li>
 </ul>
 
 
 
 
 
 Culture:
 
 
 <ul>
 <li>
 Polymath is a team of researchers, engineers, and operators focused on advancing the frontier of safe, superintelligent AI agents.
 </li>
 <li>
 We have a flat organizational structure. We believe that people do their best work when they&rsquo;re self-motivated and driven by a desire to learn, contribute to the team&rsquo;s goals, and advance scientific progress.
 </li>
 <li>
 We&rsquo;re looking for folks who ship fast, set high standards for themselves, and are great team players. You&rsquo;ll be a member of our founding team: have fun, learn a lot, and do high-impact work alongside great people.
 </li>
 </ul>
 
 
 
</div>

Member of Technical Staff - Engineering

Stripe

<div>
 
 About Bridge
 
 
 
 We&rsquo;re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.
 
 
 We have a small team of people who have previously built financial infrastructure at some of the world&rsquo;s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.
 
 
 
 About The Role
 
 
 
 As an early member of the Bridge engineering team, you will be given the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago and that's because our team is dedicated to constant improvement for our partners and end users. Our Engineers have outsized ownership over projects so if you are looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Ship software to build out our suite of API products. We&rsquo;re an engineering and API-first company, and you will learn first-hand and contribute towards building highly reliable, performant, and mission critical infrastructure serving thousands of developers across the globe.
 </li>
 <li>
 Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal/Compliance and externally with our partners and developers.
 </li>
 <li>
 Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users.
 </li>
 <li>
 Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.
 </li>
 <li>
 Improve engineering standards, tooling and processes for the team and our broader org.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We are open to hiring engineers at various levels of seniority (SWE through Senior Staff) but at a minimum we are looking for somebody with 5+ years of experience.
 </li>
 <li>
 Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express or equivalent is a bonus.
 </li>
 <li>
 An enlarged sense of ownership and the ability to lead and influence the design and direction of our products.
 </li>
 <li>
 An ability to thrive in a fast paced environment.
 </li>
 <li>
 A growth mindset and a constant curiosity and fearlessness to dive into the unknown.
 </li>
 <li>
 An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast.
 </li>
 <li>
 Excellent written and verbal communication skills, including the ability to write clear technical documentation.
 </li>
 <li>
 Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space.
 </li>
 <li>
 Experience with building API products a plus, but not required.
 </li>
 <li>
 Experience working with blockchain or distributed systems a big plus
 
 
 
 </li>
 </ul>
 In-office expectations
 
 
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 
 
 Pay and benefits
 
 
 The annual US base salary range for this role is $190,400 - $285,600. For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 
 
 Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
</div>

Software Engineer, Bridge

OpenAI

<div>
 
 About The Team
 
 
 
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
 </li>
 <li>
 Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
 </li>
 <li>
 Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 </li>
 <li>
 Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
 </li>
 <li>
 Ensure the security, integrity, and compliance of data according to industry and company standards.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 </li>
 <li>
 Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 </li>
 <li>
 Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 </li>
 <li>
 Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 </li>
 <li>
 Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
 
 </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Data Engineer, Analytics

Distyl

<div>
 
 About Distyl AI
 
 
 
 Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
 
 
 We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
 
 
 Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
 
 
 
 What We Are Looking For
 
 
 
 As a Software Engineer Back End you will help design, build, and optimize Distillery&mdash;our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.
 
 
 Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build &amp; Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
 </li>
 <li>
 Develop Cloud-Native Microservices &amp; Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
 </li>
 <li>
 Optimize System Performance &amp; Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
 </li>
 <li>
 Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
 </li>
 <li>
 Proficiency in Backend &amp; Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
 </li>
 <li>
 Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
 </li>
 <li>
 Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
 </li>
 <li>
 Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus
 </li>
 <li>
 Travel: Ability to travel 10-20%
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
 </li>
 <li>
 100% covered medical, dental, and vision for employees and dependents
 </li>
 <li>
 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
 </li>
 <li>
 Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
 </li>
 <li>
 Ownership of high‑impact projects across top enterprises
 </li>
 <li>
 A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
 
 
 </li>
 </ul>
 Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.
 
 
 
 
 We&rsquo;re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we&rsquo;re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we&rsquo;ve completed our review, regardless of the decision.
 
 
</div>

Software Engineer - Back End

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